Foundations Of Computational Intelligence Volume 5

Download Foundations Of Computational Intelligence Volume 5 full books in PDF, epub, and Kindle. Read online Foundations Of Computational Intelligence Volume 5 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Foundations of Computational Intelligence Volume 5

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 3642015360
Total Pages : 378 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Computational Intelligence Volume 5 by : Ajith Abraham

Download or read book Foundations of Computational Intelligence Volume 5 written by Ajith Abraham and published by Springer. This book was released on 2009-07-11 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification – Theoretical Foundations Part-II: Function Approximation and Classification – Success Stories and Real World Applications Part I on Function Approximation and Classification – Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 “Feature Selection for Partial Least Square Based Dimension Red- tion” by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets.

Fundamentals of Computational Intelligence

Author : James M. Keller
Publisher : John Wiley & Sons
ISBN 13 : 111921436X
Total Pages : 378 pages
Book Rating : 4.1/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Fundamentals of Computational Intelligence by : James M. Keller

Download or read book Fundamentals of Computational Intelligence written by James M. Keller and published by John Wiley & Sons. This book was released on 2016-07-13 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

Foundations of Computational Intelligence

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 3642010903
Total Pages : 397 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Computational Intelligence by : Ajith Abraham

Download or read book Foundations of Computational Intelligence written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2009-04-27 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.

Artificial Intelligence

Author : David L. Poole
Publisher : Cambridge University Press
ISBN 13 : 110719539X
Total Pages : 821 pages
Book Rating : 4.1/5 (71 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence by : David L. Poole

Download or read book Artificial Intelligence written by David L. Poole and published by Cambridge University Press. This book was released on 2017-09-25 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

The Foundations of Artificial Intelligence

Author : Derek Partridge
Publisher : Cambridge University Press
ISBN 13 : 9780521359443
Total Pages : 516 pages
Book Rating : 4.3/5 (594 download)

DOWNLOAD NOW!

Book Synopsis The Foundations of Artificial Intelligence by : Derek Partridge

Download or read book The Foundations of Artificial Intelligence written by Derek Partridge and published by Cambridge University Press. This book was released on 1990-04-26 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.

Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control

Author : Maria Carmo Nicoletti
Publisher : Springer
ISBN 13 : 3642018882
Total Pages : 349 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control by : Maria Carmo Nicoletti

Download or read book Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control written by Maria Carmo Nicoletti and published by Springer. This book was released on 2009-07-09 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.

Transfer in Reinforcement Learning Domains

Author : Matthew Taylor
Publisher : Springer Science & Business Media
ISBN 13 : 3642018815
Total Pages : 237 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Transfer in Reinforcement Learning Domains by : Matthew Taylor

Download or read book Transfer in Reinforcement Learning Domains written by Matthew Taylor and published by Springer Science & Business Media. This book was released on 2009-06-05 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with the development of algorithms capable of mastering increasingly complex problems, but learning difficult tasks is often slow or infeasible when RL agents begin with no prior knowledge. The key insight behind "transfer learning" is that generalization may occur not only within tasks, but also across tasks. While transfer has been studied in the psychological literature for many years, the RL community has only recently begun to investigate the benefits of transferring knowledge. This book provides an introduction to the RL transfer problem and discusses methods which demonstrate the promise of this exciting area of research. The key contributions of this book are: Definition of the transfer problem in RL domains Background on RL, sufficient to allow a wide audience to understand discussed transfer concepts Taxonomy for transfer methods in RL Survey of existing approaches In-depth presentation of selected transfer methods Discussion of key open questions By way of the research presented in this book, the author has established himself as the pre-eminent worldwide expert on transfer learning in sequential decision making tasks. A particular strength of the research is its very thorough and methodical empirical evaluation, which Matthew presents, motivates, and analyzes clearly in prose throughout the book. Whether this is your initial introduction to the concept of transfer learning, or whether you are a practitioner in the field looking for nuanced details, I trust that you will find this book to be an enjoyable and enlightening read. Peter Stone, Associate Professor of Computer Science

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

Author : Nikola K. Kasabov
Publisher : Marcel Alencar
ISBN 13 : 0262112124
Total Pages : 581 pages
Book Rating : 4.2/5 (621 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering by : Nikola K. Kasabov

Download or read book Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering written by Nikola K. Kasabov and published by Marcel Alencar. This book was released on 1996 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.

Methods and Supporting Technologies for Data Analysis

Author : Danuta Zakrzewska
Publisher : Springer
ISBN 13 : 3642021964
Total Pages : 253 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Methods and Supporting Technologies for Data Analysis by : Danuta Zakrzewska

Download or read book Methods and Supporting Technologies for Data Analysis written by Danuta Zakrzewska and published by Springer. This book was released on 2009-07-11 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overwhelming pace of evolution in technology has made it possible to develop intelligent systems which help users in their dayly life activities. - cordingly, methods of recording, managing and analysing data have evolved from the very simple ?le systems into complex ambient supportive intelligent systems. This book arises as a compilation of methods, techniques and tools c- nected with data related issues: from modelling to analysis. A broad range of approaches such as database self-* techniques for ubiquitous environments, multimedia data, or data driven models will be reviewed. Di?erent areas of applications, in which data models conceptualize nowadays reality, starting from e-learning to electric transformers will be considered. The book is a collection of representative contributions to cover the sp- trum related to data bases, which support decision making and data mining methods as well as conceptualization. Datawarehouse technology and m- eling are presented in the ?rst chapter together with the deep review of datawarehouse techniques for supporting e-learning processes with special emphasis on data cubes, all the tools are considered in the context of imp- mentationofsoftwareapplication.Thesecondchaptercontinueswiththes- ilar technology and deals with the community data warehouse architecture.

New Directions in Intelligent Interactive Multimedia Systems and Services - 2

Author : Ernesto Damiani
Publisher : Springer Science & Business Media
ISBN 13 : 3642029361
Total Pages : 538 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis New Directions in Intelligent Interactive Multimedia Systems and Services - 2 by : Ernesto Damiani

Download or read book New Directions in Intelligent Interactive Multimedia Systems and Services - 2 written by Ernesto Damiani and published by Springer Science & Business Media. This book was released on 2009-07-21 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of the 2nd International KES Symposium on Intelligent Interactive Multimedia Systems and Services was integration of multimedia processing techniques in a new wave of user-centric services and processes. This text offers the symposium’s proceedings.

Intelligent Systems and Technologies

Author : Horia-Nicolai Teodorescu
Publisher : Springer
ISBN 13 : 3642018858
Total Pages : 293 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Systems and Technologies by : Horia-Nicolai Teodorescu

Download or read book Intelligent Systems and Technologies written by Horia-Nicolai Teodorescu and published by Springer. This book was released on 2009-07-07 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statefull Service and a Multicoreenabled System; Ro-WordNet with Paradigmatic Morphology and Subjectivity Mark-up; Special Cases of Relative Object Qualification using the AMONG Operator; Effective Speaker Tracking Strategies for Multi-party Human-Computer Dialogue; The Fuzzy Interpolative Control for Passive Greenhouses; GPS safety system for airplanes; 3D Collaborative Interfaces for E-learning; Open Projects in Contemporary E-Learning; Software Platform for Archaeological Patrimony Inventory and Management. The book is directed to the graduate students, researchers, professors and the practitioner of intelligent systems.

Ontology-Based Multi-Agent Systems

Author : Maja Hadzic
Publisher : Springer Science & Business Media
ISBN 13 : 364201903X
Total Pages : 283 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Ontology-Based Multi-Agent Systems by : Maja Hadzic

Download or read book Ontology-Based Multi-Agent Systems written by Maja Hadzic and published by Springer Science & Business Media. This book was released on 2009-06-25 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last two decades, the idea of Semantic Web has received a great deal of attention. An extensive body of knowledge has emerged to describe technologies that seek to help us create and use aspects of the Semantic Web. Ontology and agent-based technologies are understood to be the two important technologies here. A large number of articles and a number of books exist to describe the use individually of the two technologies and the design of systems that use each of these technologies individually, but little focus has been given on how one can - sign systems that carryout integrated use of the two different technologies. In this book we describe ontology and agent-based systems individually, and highlight advantages of integration of the two different and complementary te- nologies. We also present a methodology that will guide us in the design of the - tegrated ontology-based multi-agent systems and illustrate this methodology on two use cases from the health and software engineering domain. This book is organized as follows: • Chapter I, Current issues and the need for ontologies and agents, describes existing problems associated with uncontrollable information overload and explains how ontologies and agent-based systems can help address these - sues. • Chapter II, Introduction to multi-agent systems, defines agents and their main characteristics and features including mobility, communications and collaboration between different agents. It also presents different types of agents on the basis of classifications done by different authors.

Knowledge Discovery Enhanced with Semantic and Social Information

Author : Bettina Berendt
Publisher : Springer
ISBN 13 : 3642018912
Total Pages : 150 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Knowledge Discovery Enhanced with Semantic and Social Information by : Bettina Berendt

Download or read book Knowledge Discovery Enhanced with Semantic and Social Information written by Bettina Berendt and published by Springer. This book was released on 2009-07-09 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is showcases recent advances in knowledge discovery enhanced with semantic and social information. It includes eight chapters that grew out of joint workshops at ECML/PKDD 2007. The contributions emphasize the vision of the Web as a social medium.

Information Hiding and Applications

Author : Hsiang-Cheh Huang
Publisher : Springer
ISBN 13 : 3642023355
Total Pages : 232 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Information Hiding and Applications by : Hsiang-Cheh Huang

Download or read book Information Hiding and Applications written by Hsiang-Cheh Huang and published by Springer. This book was released on 2009-07-11 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information hiding is an area of great interest due to its applications in copyright protection of images, data, passport control, CDs, DVDs, videos and so on. This book presents a sample of recent research results from key researchers. The contributions include: - Copyright protection system; - Video watermarking; - Restoring objects for digital inpainting; - Data embedding scheme; - Robust image watermarking; - Perceptual shaping in digital watermarking; - Image authentication method under JPEG; - Fingerprinting for copyright protection; - Data hiding for halftone images; - Information hiding for digital watermarking. This book is directed to the application engineers, researchers, graduate students, professors and to those who are interested to investigate the information hiding techniques and use them in various applications such as copyright protection of images, data, passport control, CDs, DVDs, videos and so on.

Handbook of Knowledge Representation

Author : Frank van Harmelen
Publisher : Elsevier
ISBN 13 : 0080557023
Total Pages : 1035 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen

Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1035 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily

Reverse Engineering the Mind

Author : Florian Neukart
Publisher : Springer
ISBN 13 : 3658161760
Total Pages : 404 pages
Book Rating : 4.6/5 (581 download)

DOWNLOAD NOW!

Book Synopsis Reverse Engineering the Mind by : Florian Neukart

Download or read book Reverse Engineering the Mind written by Florian Neukart and published by Springer. This book was released on 2016-10-24 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE). Key methods are to establish a symbiotic relationship between a biological brain, sensors, AI and quantum hard- and software, resulting in solutions for the continuous consciousness-problem as well as other state of the art problems. The research conducted by the author attracts considerable attention, as there is a deep urge for people to understand what advanced technology means in terms of the future of mankind. This work marks the beginning of a journey – the journey towards machines with conscious action and artificially accelerated human evolution.

Foundations of Artificial Intelligence and Robotics

Author : Wendell H. Chun
Publisher : CRC Press
ISBN 13 : 1040116167
Total Pages : 335 pages
Book Rating : 4.0/5 (41 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Artificial Intelligence and Robotics by : Wendell H. Chun

Download or read book Foundations of Artificial Intelligence and Robotics written by Wendell H. Chun and published by CRC Press. This book was released on 2024-12-24 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g., Turing Test) and robotics without AI (e.g., teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having "smart" robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI, and robotics from its early development to state‐of‐the‐art technology, providing a roadmap of these complicated and constantly evolving subjects. Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, this first volume investigates the coming together of AI (the mind) and robotics (the body), and discusses the state of AI today. Key Features: Provides a complete overview of the topic of AI, starting with philosophy, psychology, neuroscience, and logicism, and extending to the action of the robots and AI needed for a futuristic society Provides a holistic view of AI, and touches on all the misconceptions and tangents to the technologies through taking a systematic approach Provides a glossary of terms, list of notable people, and extensive references Provides the interconnections and history of the progress of technology for over 100 years as both the hardware (Moore’s Law, GPUs) and software, i.e., generative AI, have advanced Intended as a complete reference, this book is useful to undergraduate and postgraduate students of computing, as well as the general reader. It can also be used as a textbook by course convenors. If you only had one book on AI and robotics, this set would be the first reference to acquire and learn about the theory and practice.